Clinical educators can supervise students without increased stress: a study of interacting factors using insights from complexity theory.

Supervising students in healthcare settings is complex and can be stressful for clinical educators. However, it is unclear how to design student placements without clinical educator stress. Using complexity theory as a lens, fuzzy set Qualitative Comparative Analysis (fsQCA) was used to explore factors associated with no increased stress for clinical educators during speech pathology (SP) placements. Factor selection was informed by the Demand- Control- Support model and existing literature. No single factor was necessary for clinical educators to experience no increased stress. Varied combinations of all factors were found in 10 paths to no increased stress. These combinations often had passing student(s); however, multiple paths included other factors that could be adjusted by clinical educators prior to placement. For example, having more than one workday per week without students was a factor in four paths to no increased stress despite other potential challenges such as a higher caseload throughput. More experienced educators, who had other supporting factors (e.g. lower caseload throughput or workplace engagement such as support from colleagues and managers), also perceived no increased stress in four paths. Student placements without increased stress for clinical educators require consideration of multiple interacting factors. Principles of complexity theory provide insight into how clinical educators uniquely respond to their individual circumstances, resulting in different experiences of student placement impact even within similar workplaces. FsQCA has highlighted practical ways clinical educators supervise students without increased stress. However, any changes for an individual clinical educator need to be considered in combination with other factors given the complexity of clinical education and healthcare settings.

Evidence for Lignocellulose-Decomposing Enzymes in the Genome and Transcriptome of the Aquatic Hyphomycete Clavariopsis aquatica.

Fungi are ecologically outstanding decomposers of lignocellulose. Fungal lignocellulose degradation is prominent in saprotrophic Ascomycota and Basidiomycota of the subkingdom Dikarya. Despite ascomycetes dominating the Dikarya inventory of aquatic environments, genome and transcriptome data relating to enzymes involved in lignocellulose decay remain limited to terrestrial representatives of these phyla. We sequenced the genome of an exclusively aquatic ascomycete (the aquatic hyphomycete Clavariopsis aquatica), documented the presence of genes for the modification of lignocellulose and its constituents, and compared differential gene expression between C. aquatica cultivated on lignocellulosic and sugar-rich substrates. We identified potential peroxidases, laccases, and cytochrome P450 monooxygenases, several of which were differentially expressed when experimentally grown on different substrates. Additionally, we found indications for the regulation of pathways for cellulose and hemicellulose degradation. Our results suggest that C. aquatica is able to modify lignin to some extent, detoxify aromatic lignin constituents, or both. Such characteristics would be expected to facilitate the use of carbohydrate components of lignocellulose as carbon and energy sources.

The effect of speech-language pathology students on clinician time use and activity.

PURPOSE: This prospective study investigated the impact of supervising students on public health speech-language pathologists' (SLPs) time and patient activity levels in order to broaden evidence in the profession. METHOD: Thirty-four SLPs supervising students collected data profiling their time use and activity during the first, middle and penultimate placement week. They also collected data for a week when not supervising students. Pre- and post-placement surveys were used to supplement quantitative data with additional information such as clinician and student experience levels. RESULT: Overall clinical time (face-to-face and indirect) and the number of patients seen neither increased nor decreased during student placements. However, clinicians' use of time altered across placement periods. For example, SLP time delivering clinical services decreased but time observing students providing clinical services increased as the placement progressed. Some differences in time spent in non-clinical activities (e.g. student teaching and SLP administration) were found. Comparing data from placements with varying supervision models or student competence level showed few significant differences in time use, activity or productivity. CONCLUSION: There was no significant difference in overall clinical time used, nor patient activity or productivity whether clinicians were supervising students or not. Further research is required within SLP services.

Long-read DNA metabarcoding of ribosomal RNA in the analysis of fungi from aquatic environments.

DNA metabarcoding is widely used to study prokaryotic and eukaryotic microbial diversity. Technological constraints limit most studies to marker lengths below 600 base pairs (bp). Longer sequencing reads of several thousand bp are now possible with third-generation sequencing. Increased marker lengths provide greater taxonomic resolution and allow for phylogenetic methods of classification, but longer reads may be subject to higher rates of sequencing error and chimera formation. In addition, most bioinformatics tools for DNA metabarcoding were designed for short reads and are therefore unsuitable. Here, we used Pacific Biosciences circular consensus sequencing (CCS) to DNA-metabarcode environmental samples using a ca. 4,500 bp marker that included most of the eukaryote SSU and LSU rRNA genes and the complete ITS region. We developed an analysis pipeline that reduced error rates to levels comparable to short-read platforms. Validation using a mock community indicated that our pipeline detected 98% of chimeras de novo. We recovered 947 OTUs from water and sediment samples from a natural lake, 848 of which could be classified to phylum, 397 to genus and 330 to species. By allowing for the simultaneous use of three databases (Unite, SILVA and RDP LSU), long-read DNA metabarcoding provided better taxonomic resolution than any single marker. We foresee the use of long reads enabling the cross-validation of reference sequences and the synthesis of ribosomal rRNA gene databases. The universal nature of the rRNA operon and our recovery of >100 nonfungal OTUs indicate that long-read DNA metabarcoding holds promise for studies of eukaryotic diversity more broadly.

Early diverging lineages within Cryptomycota and Chytridiomycota dominate the fungal communities in ice-covered lakes of the McMurdo Dry Valleys, Antarctica.

Antarctic ice-covered lakes are exceptional sites for studying the ecology of aquatic fungi under conditions of minimal human disturbance. In this study, we explored the diversity and community composition of fungi in five permanently covered lake basins located in the Taylor and Miers Valleys of Antarctica. Based on analysis of the 18S rRNA sequences, we showed that fungal taxa represented between 0.93% and 60.32% of the eukaryotic sequences. Cryptomycota and Chytridiomycota dominated the fungal communities in all lakes; however, members of Ascomycota, Basidiomycota, Zygomycota, and Blastocladiomycota were also present. Of the 1313 fungal OTUs identified, the two most abundant, belonging to LKM11 and Chytridiaceae, comprised 74% of the sequences. Significant differences in the community structure were determined among lakes, water depths, habitat features (i.e., brackish vs. freshwaters), and nucleic acids (DNA vs. RNA), suggesting niche differentiation. Network analysis suggested the existence of strong relationships among specific fungal phylotypes as well as between fungi and other eukaryotes. This study sheds light on the biology and ecology of basal fungi in aquatic systems. To our knowledge, this is the first report showing the predominance of early diverging lineages of fungi in pristine limnetic ecosystems, particularly of the enigmatic phylum Cryptomycota.

Integrating chytrid fungal parasites into plankton ecology: research gaps and needs.

Chytridiomycota, often referred to as chytrids, can be virulent parasites with the potential to inflict mass mortalities on hosts, causing e.g. changes in phytoplankton size distributions and succession, and the delay or suppression of bloom events. Molecular environmental surveys have revealed an unexpectedly large diversity of chytrids across a wide range of aquatic ecosystems worldwide. As a result, scientific interest towards fungal parasites of phytoplankton has been gaining momentum in the past few years. Yet, we still know little about the ecology of chytrids, their life cycles, phylogeny, host specificity and range. Information on the contribution of chytrids to trophic interactions, as well as co-evolutionary feedbacks of fungal parasitism on host populations is also limited. This paper synthesizes ideas stressing the multifaceted biological relevance of phytoplankton chytridiomycosis, resulting from discussions among an international team of chytrid researchers. It presents our view on the most pressing research needs for promoting the integration of chytrid fungi into aquatic ecology.

Between migration load and evolutionary rescue: dispersal, adaptation and the response of spatially structured populations to environmental change.

The evolutionary potential of populations is mainly determined by population size and available genetic variance. However, the adaptability of spatially structured populations may also be affected by dispersal: positively by spreading beneficial mutations across sub-populations, but negatively by moving locally adapted alleles between demes. We develop an individual-based, two-patch, allelic model to investigate the balance between these opposing effects on a population's evolutionary response to rapid climate change. Individual fitness is controlled by two polygenic traits coding for local adaptation either to the environment or to climate. Under conditions of selection that favour the evolution of a generalist phenotype (i.e. weak divergent selection between patches) dispersal has an overall positive effect on the persistence of the population. However, when selection favours locally adapted specialists, the beneficial effects of dispersal outweigh the associated increase in maladaptation for a narrow range of parameter space only (intermediate selection strength and low linkage among loci), where the spread of beneficial climate alleles is not strongly hampered by selection against non-specialists. Given that local selection across heterogeneous and fragmented landscapes is common, the complex effect of dispersal that we describe will play an important role in determining the evolutionary dynamics of many species under rapidly changing climate.

Large and variable genome size unrelated to serpentine adaptation but supportive of cryptic sexuality in Cenococcum geophilum.

Estimations of genome size and its variation can provide valuable information regarding the genetic diversity of organisms and their adaptation potential to heterogeneous environments. We used flow cytometry to characterize the variation in genome size among 40 isolates of Cenococcum geophilum, an ectomycorrhizal fungus with a wide ecological and geographical distribution, obtained from two serpentine and two non-serpentine sites in Portugal. Besides determining the genome size and its intraspecies variation, we wanted to assess whether a relationship exists between genome size and the edaphic background of the C. geophilum isolates. Our results reveal C. geophilum to have one of the largest genome sizes so far measured in the Ascomycota, with a mean haploid genome size estimate of 0.208 pg (203 Mbp). However, no relationship was found between genome size and the edaphic background of the sampled isolates, indicating genetic and demographic processes to be more important for shaping the genome size variation in this species than environmental selection. The detection of variation in ploidy level among our isolates, including a single individual with both presumed haploid and diploid nuclei, provides supportive evidence for a possible cryptic sexual or parasexual cycle in C. geophilum (although other mechanisms may have caused this variation). The existence of such a cycle would have wide significance, explaining the high levels of genetic diversity and likelihood of recombination previously reported in this species, and adds to the increasing number of studies suggesting sexual cycles in previously assumed asexual fungi.

Limited evolutionary rescue of locally adapted populations facing climate change.

Dispersal is a key determinant of a population's evolutionary potential. It facilitates the propagation of beneficial alleles throughout the distributional range of spatially outspread populations and increases the speed of adaptation. However, when habitat is heterogeneous and individuals are locally adapted, dispersal may, at the same time, reduce fitness through increasing maladaptation. Here, we use a spatially explicit, allelic simulation model to quantify how these equivocal effects of dispersal affect a population's evolutionary response to changing climate. Individuals carry a diploid set of chromosomes, with alleles coding for adaptation to non-climatic environmental conditions and climatic conditions, respectively. Our model results demonstrate that the interplay between gene flow and habitat heterogeneity may decrease effective dispersal and population size to such an extent that substantially reduces the likelihood of evolutionary rescue. Importantly, even when evolutionary rescue saves a population from extinction, its spatial range following climate change may be strongly narrowed, that is, the rescue is only partial. These findings emphasize that neglecting the impact of non-climatic, local adaptation might lead to a considerable overestimation of a population's evolvability under rapid environmental change.

Population resequencing reveals local adaptation of Arabidopsis lyrata to serpentine soils.

A powerful way to map functional genomic variation and reveal the genetic basis of local adaptation is to associate allele frequency across the genome with environmental conditions. Serpentine soils, characterized by high heavy-metal content and low calcium-to-magnesium ratios, are a classic context for studying adaptation of plants to local soil conditions. To investigate whether Arabidopsis lyrata is locally adapted to serpentine soil, and to map the polymorphisms responsible for such adaptation, we pooled DNA from individuals from serpentine and nonserpentine soils and sequenced each 'gene pool' with the Illumina Genome Analyzer. The polymorphisms that are most strongly associated with soil type are enriched at heavy-metal detoxification and calcium and magnesium transport loci, providing numerous candidate mutations for serpentine adaptation. Sequencing of three candidate loci in the European subspecies of A. lyrata indicates parallel differentiation of the same polymorphism at one locus, confirming ecological adaptation, and different polymorphisms at two other loci, which may indicate convergent evolution.